Prof Paul Wen

Prof Paul Wen
NameProf Paul Wen
Email Addresspaul.wen@unisq.edu.au
Job TitleProfessor (Systems and Computer Control)
QualificationsBEng HUST, MEng HUST, PhD HUST, PhD Flinders
DepartmentSchool of Engineering
ORCIDhttps://orcid.org/0000-0003-0939-9145 (unauthenticated)
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Biography

Peng (Paul) Wen is a professor at the University of Southern Queensland, Australia. His research interests include control systems, biomedical engineering, signal processing, brain modelling, pattern recognition, and machine learning. He received his B.E., M. E. and PhD degrees in electrical and electronic engineering from Huazhong University of Science and Technology, Wuhan, China, and another PhD degree in biomedical engineering from Flinders University of SA, Adelaide, Australia.

Employment

PositionOrganisationFromTo
ProfessorUniversity of Southern Queensland2001
Research FellowCity University of Hong Kong19941997
Associate ProfessorHuanzhong University of Science and Technology19861994

Expertise

intelligent control systems, biomedical engineering, signal processing, brain modelling, pattern recognition, and deep learning.

Teaching

Control Engineering

Computer systems

Smart Technology

Fields of Research

  • 400399. Biomedical engineering not elsewhere classified
  • 400899. Electrical engineering not elsewhere classified

Professional Membership

Professional MembershipYear
IEEE, CME
BEng
HUST
1983
MEng
HUST
1986
PhD
HUST
1994
PhD
Flinders
2001

Current Supervisions

Research TitleSupervisor TypeLevel of StudyCommenced
Depth of Anaesthesia Assessment and Prediction Based on ElectroencephalographAssociate SupervisorDoctoral2025
Real-time Diagnosis and Monitoring of Mental Health Conditions Using Bio-signals and AIPrincipal SupervisorDoctoral2025

Completed Supervisions

Research TitleSupervisor TypeLevel of StudyCompleted
Deep learning based sleep stage classification studiesAssociate SupervisorDoctoral2024
Real-Time Epilepsy Seizure Detection and Brain Connectivity Analysis using ElectroencephalogramPrincipal SupervisorDoctoral2023
MODELLING AND NUMERICAL INVESTIGATIONS OF TRANSCRANIAL FOCUSED ULTRASOUND STIMULATIONPrincipal SupervisorDoctoral2023
Early Detection of Meter Faults and Hazards using Electricity Smart Meter DataAssociate SupervisorMasters2023
Sleep Stages Classification Based on Graph Convolutional Networks Using Multi-type Bio-signalsAssociate SupervisorDoctoral2023
Multi-Method Approaches for Sleep EEG Analysis and Sleep Stage Classification.Associate SupervisorDoctoral2023
Sleep characteristics and stages detection and analysis using Electroencephalogram (EEG)Associate SupervisorDoctoral2021
Control of cranes with a swinging load, an investigation of pragmatic controlAssociate SupervisorDoctoral2020
Brain network, modelling and corresponding EEG patterns for health and disease statesPrincipal SupervisorDoctoral2020
EEG signals analysis and classification based on graph theory and statistical featuresAssociate SupervisorDoctoral2017
Human head temperature and electric field investigations under ECTPrincipal SupervisorDoctoral2017
Numerical human head modelling and investigation for precise tDCS applicationsAssociate SupervisorDoctoral2016

Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features

Li, Tianning, Huang, Yi, Wen, Paul and Li, Yan. 2024. "Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features." Brain Informatics. 11. https://doi.org/10.1186/s40708-024-00241-y

A real-time epilepsy seizure detection approach based on EEG using short-time Fourier transform and Google-Net convolutional neural network

Shen, Mingkan, Yang, Fuwen, Wen, Peng, Song, Bo and Li, Yan. 2024. "A real-time epilepsy seizure detection approach based on EEG using short-time Fourier transform and Google-Net convolutional neural network." Heliyon. 10 (11). https://doi.org/10.1016/j.heliyon.2024.e31827

An automatic method using MFCC features for sleep stage classification

Pei, Wei, Li, Yan, Wen, PPeng, Yang, Fuwen and Ji, Xiaopeng. 2024. "An automatic method using MFCC features for sleep stage classification." Brain Informatics. 11. https://doi.org/10.1186/s40708-024-00219-w

Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease

Siuly, Siuly, Alcin, Ömer Faruk, Wang, Hua, Li, Yan and Wen, Peng. 2024. "Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease ." IEEE Transactions on Emerging Topics in Computational Intelligence. 8 (2), pp. 1609-1623. https://doi.org/10.1109/TETCI.2024.3353610

MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification Model

Ji, Xiaopeng, Li, Yan, Wen, Peng, Barua, Prabal and Acharya, U Rajendra. 2024. "MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification Model ." Computer Methods and Programs in Biomedicine. 244. https://doi.org/10.1016/j.cmpb.2023.107992

Secure Zonotopic Set-Membership State Estimation for Multi-Rate Complex Networks Under Encryption-Decryption Mechanism

Yang, Hao, Yan, Huaicheng, Li, Yan, Wen, Paul and Yang, Fuwen. 2023. "Secure Zonotopic Set-Membership State Estimation for Multi-Rate Complex Networks Under Encryption-Decryption Mechanism." IEEE Transactions on Automatic Control. 69 (8), pp. 5109-5124. https://doi.org/10.1109/TAC.2023.3347599

3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network

Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2024. "3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network." Biomedical Signal Processing and Control. 89. https://doi.org/10.1016/j.bspc.2023.105815

3DSleepNet: A Multi-Channel Bio-Signal Based Sleep Stages Classification Method Using Deep Learning

Ji, Xiaopeng, Li, Yan and Wen, Peng. 2023. "3DSleepNet: A Multi-Channel Bio-Signal Based Sleep Stages Classification Method Using Deep Learning." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31, pp. 3513-3523. https://doi.org/10.1109/TNSRE.2023.3309542

Efficient novel network and index for alcoholism detection from EEGs

Sadiq, Muhammad Tariq, Siuly, Siuly, Almogren, Ahmad, Li, Yan and Wen, Paul. 2023. "Efficient novel network and index for alcoholism detection from EEGs." Health Information Science and Systems. 11 (1). https://doi.org/10.1007/s13755-023-00227-w

Automatic sleep spindles identification and classification with multitapers and convolution

Zapata, Ignacio, Wen, Peng, Jones, Evan, Fjaagesund, Shauna and Li, Yan. 2024. "Automatic sleep spindles identification and classification with multitapers and convolution." Sleep. 47 (1). https://doi.org/10.1093/sleep/zsad159

Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network

Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network." Computers in Biology and Medicine. 160. https://doi.org/10.1016/j.compbiomed.2023.107022

Exploring deep residual network based features for automatic schizophrenia detection from EEG

Siuly, Siuly, Guo, Yanhui, Alcin, Omer Faruk, Li, Yan, Wen, Peng and Wang, Hua. 2023. "Exploring deep residual network based features for automatic schizophrenia detection from EEG." Physical and Engineering Sciences in Medicine. 46 (2), pp. 561-574. https://doi.org/10.1007/s13246-023-01225-8

Numerical Evaluation of the Human Skull with Focused Ultrasound Stimulation

Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2023. "Numerical Evaluation of the Human Skull with Focused Ultrasound Stimulation ." Acoustics Australia. 51 (2), p. 233–241. https://doi.org/10.1007/s40857-023-00289-6

Real-time epilepsy seizure detection based on EEG using tunable-Q wavelet transform and convolutional neural network

Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Real-time epilepsy seizure detection based on EEG using tunable-Q wavelet transform and convolutional neural network." Biomedical Signal Processing and Control. 82. https://doi.org/10.1016/j.bspc.2022.104566

Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG

Sadiq, Muhammad Tariq, Akbari, Hesam, Siuly, Siuly, Li, Yan and Wen, Paul. 2022. "Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG." 11th International Conference on Health Information Science (HIS 2022). Biarritz, France 28 - 30 Oct 2022 Switzerland. https://doi.org/10.1007/978-3-031-20627-6_10

Detection of alcoholic EEG signals based on whole brain connectivity and convolution neural networks

Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Detection of alcoholic EEG signals based on whole brain connectivity and convolution neural networks." Biomedical Signal Processing and Control. 79 (Part 2). https://doi.org/10.1016/j.bspc.2022.104242

SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia

Siuly, Siuly, Li, Yan, Wen, Peng and Alcin, Omer Faruk. 2022. "SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia." Computational Intelligence and Neuroscience. 2022, pp. 1-13. https://doi.org/10.1155/2022/1992596

Identification of Normal and Depression EEG Signals in Variational Mode Decomposition Domain

Akbari, Hesam, Sadiq, Muhammad Tariq, Siuly, Siuly, Li, Yan and Wen, Paul. 2022. "Identification of Normal and Depression EEG Signals in Variational Mode Decomposition Domain." Health Information Science and Systems. 10 (1). https://doi.org/10.1007/s13755-022-00187-7

Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG

Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2022. "Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG." Sensors. 22 (16). https://doi.org/10.3390/s22166099

An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods

Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2022. "An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods." Biomedical Signal Processing and Control. 77, pp. 1-8. https://doi.org/10.1016/j.bspc.2022.103820

Rules-Based and SVM-Q Methods With Multitapers and Convolution for Sleep EEG Stages Classification

Zapata, Ignacio A., Li, Yan and Wen, Peng. 2022. "Rules-Based and SVM-Q Methods With Multitapers and Convolution for Sleep EEG Stages Classification." IEEE Access. 10, pp. 71299-71310. https://doi.org/10.1109/ACCESS.2022.3188286

Large-scale brain network model and multi-band electroencephalogram rhythm simulations

Al-Hossenat, Auhood, Wen, Peng and Li, Yan. 2022. "Large-scale brain network model and multi-band electroencephalogram rhythm simulations." International Journal of Biomedical Engineering and Technology. 38 (4), pp. 395-409. https://doi.org/10.1504/IJBET.2022.123153

Novel large scale brain network models for EEG epileptic pattern generations

Al-Hossenat, Auhood, Song, Bo, Wen, Peng and Li, Yan. 2022. "Novel large scale brain network models for EEG epileptic pattern generations." Expert Systems with Applications. 194. https://doi.org/10.1016/j.eswa.2021.116477

Alcoholic EEG signals recognition based on phase space dynamic and geometrical features

Sadiq, Muhammad Tariq, Akbar, Hesam, Siuly, Siuly, Li, Yan Li and Wen, Peng (Paul). 2022. "Alcoholic EEG signals recognition based on phase space dynamic and geometrical features." Chaos, Solitons and Fractals. 158, pp. 1-12. https://doi.org/10.1016/j.chaos.2022.112036

Numerical investigation of the energy distribution of Low-intensity transcranial focused ultrasound neuromodulation for hippocampus

Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2022. "Numerical investigation of the energy distribution of Low-intensity transcranial focused ultrasound neuromodulation for hippocampus." Ultrasonics. 124. https://doi.org/10.1016/j.ultras.2022.106724

A hybrid deep learning scheme for multi-channel sleep stage classification

Pei, Wei, Li, Yan, Siuly, Siuly and Wen, Peng. 2022. "A hybrid deep learning scheme for multi-channel sleep stage classification." Computers, Materials and Continua. 71 (1), pp. 889-905. https://doi.org/10.32604/cmc.2022.021830

Extracting epileptic features in EEGs using a dual-tree complex wavelet transform coupled with a classification algorithm

Al-Salman, Wessam, Li, Yan, Wen, Peng, Miften, Firas Sabar, Oudah, Atheer Y. and Ghayab, Hadi Ratham Al. 2022. "Extracting epileptic features in EEGs using a dual-tree complex wavelet transform coupled with a classification algorithm." Brain Research. 1779. https://doi.org/10.1016/j.brainres.2022.147777

Jumping Knowledge Based Spatial-Temporal Graph Convolutional Networks for Automatic Sleep Stage Classification

Ji, Xiaopeng, Li, Yan and Wen, Peng. 2022. "Jumping Knowledge Based Spatial-Temporal Graph Convolutional Networks for Automatic Sleep Stage Classification." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30, pp. 1464-1472. https://doi.org/10.1109/TNSRE.2022.3176004

An automatic scheme with diagnostic index for identification of normal and depression EEG signals

Akari, Hesam, Sadiq, Muhammad Tariq, Siuly, Siuly, Li, Yan and Wen, Peng (Paul). 2021. "An automatic scheme with diagnostic index for identification of normal and depression EEG signals." Siuly, Siuly, Wang, Hua, Chen, Lu, Guo, Yanhui and Xing, Chunxiao (ed.) 10th International Conference on Health Information Science (HIS 2021). Melbourne, Australia 25 - 28 Oct 2021 Switzerland. https://doi.org/10.1007/978-3-030-90885-0_6

ADHD Children Identification Based on EEG Using Effective Connectivity Techniques

Shen, M., Wen, Peng, Song, Bo and Li, Yan. 2021. "ADHD Children Identification Based on EEG Using Effective Connectivity Techniques ." Siuly, Siuly, Wang, Hua, Chen, Lu, Guo, Yanhui and Xing, Chunxiao (ed.) 10th International Conference on Health Information Science (HIS 2021). Melbourne, Australia 25 - 28 Oct 2021 Switzerland. https://doi.org/10.1007/978-3-030-90885-0_7

Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifier

Al-Salman, Wessam, Li, Yan and Wen, Peng. 2021. "Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifier." Neuroscience Research. 172, pp. 26-40. https://doi.org/10.1016/j.neures.2021.03.012

A pragmatic controller for a gantry crane

Abduljabbar, Bilal, Billingsley John and Wen, Paul. 2021. "A pragmatic controller for a gantry crane." 2020 International Symposium on Automation, Mechanical and Design Engineering (SAMDE). Beijing, China 16 - 18 Oct 2020 https://doi.org/10.1088/1742-6596/1780/1/012007

A Novel Real-time Depth of Anaesthesia Monitoring Method using Detrended Fluctuation Analysis and ANN

Chen, Xing and Wen, Paul. 2020. "A Novel Real-time Depth of Anaesthesia Monitoring Method using Detrended Fluctuation Analysis and ANN." 2020 5th International Conference on Biomedical Signal and Image Processing (ICBIP 2020). Suzhou, China 21 - 23 Aug 2020 New York, United States. https://doi.org/10.1145/3417519.3419403

Double Deep Q-Network with a Dual-Agent for Traffic Signal Control

Gu, Jianfeng, Fang, Yong, Sheng, Zhichao and Wen, Peng. 2020. "Double Deep Q-Network with a Dual-Agent for Traffic Signal Control ." Applied Sciences. 10 (5), pp. 1-17. https://doi.org/10.3390/app10051622

Automatically Predicting Severity of Parkinson's Disease Using Model Based on XGBoost from Speech

Zhu, Xuchen, Fang, Yong and Wen, Peng. 2019. "Automatically Predicting Severity of Parkinson's Disease Using Model Based on XGBoost from Speech." 2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). Dalian, China 20 - 22 Sep 2019 China. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICSPCC46631.2019.8960722

K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model

Al-Salman, Wessam, Li, Yan and Wen, Peng. 2019. "K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model." Neuroscience. 422, pp. 119-133. https://doi.org/10.1016/j.neuroscience.2019.10.034

Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features

Al-Salman, Wessam, Li, Yan and Wen, Paul. 2019. "Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features ." Frontiers in Neuroinformatics. 13 (45), pp. 1-19. https://doi.org/10.3389/fninf.2019.00045

Modelling and simulating different bands of EEG signals with the virtual brain

Al-Hossenat, Auhood, Wen, Paul and Li, Yan. 2019. "Modelling and simulating different bands of EEG signals with the virtual brain." International Journal of Electrical, Electronics and Data Communication. 7 (5), pp. 66-70.

Detecting sleep spindles in EEGs using wavelet fourier analysis and statistical features

Al-Salman, Wessam, Li, Yan and Wen, Peng. 2019. "Detecting sleep spindles in EEGs using wavelet fourier analysis and statistical features." Biomedical Signal Processing and Control. 48, pp. 80-92. https://doi.org/10.1016/j.bspc.2018.10.004

A preliminary study of the impact of lateral head orientations on the current distributions during tDCS

Song, Bo, Menezes de Oliveira, Marilia, Wang, Shuaifang, Li, Yan, Wen, Peng and Ahfock, Tony. 2019. "A preliminary study of the impact of lateral head orientations on the current distributions during tDCS." Liang, Peipeng, Goel, Vinod and Shan, Chunlei (ed.) 12th International Conference on Brain Informatics (BI 2019). Haikou, China 13 - 15 Dec 2019 Cham, Switzerland. https://doi.org/10.1007/978-3-030-37078-7_25

An auto TCD probe design and visualization

Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2018. "An auto TCD probe design and visualization." Wang, Shouyi, Yamamoto, Vicky, Su, Jianzhong, Yang, Yang, Jones, Erick, Iasemidis, Leon and Mitchell, Tom (ed.) 11th International Conference on Brain Informatics (BI 2018). Arlington, United States 07 - 09 Dec 2018 Sham, Switzerland. https://doi.org/10.1007/978-3-030-05587-5_46

Complex networks approach for depth of anesthesia assessment

Diykh, Mohammed, Li, Yan, Wen, Peng and Li, Tianning. 2018. "Complex networks approach for depth of anesthesia assessment." Measurement. 119, pp. 178-189. https://doi.org/10.1016/j.measurement.2018.01.024

An efficient approach for EEG sleep spindles detection based on fractal dimension coupled with time frequency image

Al-Salman, Wessam, Li, Yan, Wen, Peng and Diykh, Mohammed. 2018. "An efficient approach for EEG sleep spindles detection based on fractal dimension coupled with time frequency image." Biomedical Signal Processing and Control. 41, pp. 210-221. https://doi.org/10.1016/j.bspc.2017.11.019

Human Head Modelling Simulation Applied to Electroconvulsive Therapy

Menezes de Oliveira, Marilia, Song, Bo, Ahfock, Tony, Li, Yan and Wen, Paul. 2018. "Human Head Modelling Simulation Applied to Electroconvulsive Therapy." Abreu de Souza, Mauren, Remigio Gamba, Humberto and Pedrini, Helio (ed.) Multi-Modality Imaging: Applications and Computational Techniques. Cham, Switzerland. Springer. pp. 103-133

Classify epileptic EEG signals using weighted complex networks based community structure detection

Diykh, Mohammed, Li, Yan and Wen, Peng. 2017. "Classify epileptic EEG signals using weighted complex networks based community structure detection." Expert Systems with Applications. 90, pp. 87-100. https://doi.org/10.1016/j.eswa.2017.08.012

Developing a tunable Q-factor wavelet transform based algorithm for epileptic EEG feature extraction

Al Ghayab, Hadi Ratham, Li, Yan, Siuly, Siuly, Abdulla, Shahab and Wen, Paul. 2017. "Developing a tunable Q-factor wavelet transform based algorithm for epileptic EEG feature extraction." Siuly, Siuly, Huang, Zhisheng, Aickelin, Uwe, Zhou, Rui, Wang, Hua, Zhang, Yanchun and Klimenko, Stanislav (ed.) 6th International Conference on Health Information Science (HIS 2017). Moscow, Russian Federation 07 - 09 Oct 2017 Germany. https://doi.org/10.1007/978-3-319-69182-4_6

Depth of anaesthesia assessment using interval second-order difference plot and permutation entropy techniques

Li, Tianning and Wen, Peng. 2017. "Depth of anaesthesia assessment using interval second-order difference plot and permutation entropy techniques." IET Signal Processing. 11 (2), pp. 221-227. https://doi.org/10.1049/iet-spr.2015.0114

Simulation α of EEG using brain network model

Al-Hossenat, Auhood, Wen, Paul and Li, Yan. 2017. "Simulation α of EEG using brain network model." Al-Mahaidi, Riadh, Al-Mosawe, Alaa and Al-Younis, Mohamed (ed.) First MoHESR and HCED Iraqi Scholars Conference in Australasia 2017 (ISCA 2017). Melbourne, Australia 05 - 06 Dec 2017 Melbourne, Australia.

Depth of anaesthesia assessment based on adult electroencephalograph beta frequency band

Li, Tianning and Wen, Peng. 2016. "Depth of anaesthesia assessment based on adult electroencephalograph beta frequency band." Physical and Engineering Sciences in Medicine. 39 (3), pp. 773-781. https://doi.org/10.1007/s13246-016-0459-5

Heat transfer due to electroconvulsive therapy: influence of anisotropic thermal and electrical skull conductivity

Menezes de Oliveira, Marilia, Wen, Peng and Ahfock, Tony. 2016. "Heat transfer due to electroconvulsive therapy: influence of anisotropic thermal and electrical skull conductivity." Computer Methods and Programs in Biomedicine. 133, pp. 71-81. https://doi.org/10.1016/j.cmpb.2016.05.022

EEG sleep stages classification based on time domain features and structural graph similarity

Diykh, Mohammed, Li, Yan and Wen, Peng. 2016. "EEG sleep stages classification based on time domain features and structural graph similarity." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 24 (11), pp. 1159-1168. https://doi.org/10.1109/TNSRE.2016.2552539

Data selection in EEG signals classification

Wang, Shuaifang, Li, Yan, Wen, Peng and Lai, David. 2016. "Data selection in EEG signals classification." Physical and Engineering Sciences in Medicine. 39 (1), pp. 157-165. https://doi.org/10.1007/s13246-015-0414-x

Numeric investigation of brain tumor influence on the current distributions during transcranial direct current stimulation

Song, Bo, Wen, Peng, Ahfock, Tony and Li, Yan. 2016. "Numeric investigation of brain tumor influence on the current distributions during transcranial direct current stimulation." IEEE Transactions on Biomedical Engineering. 63 (1), pp. 176-187. https://doi.org/10.1109/TBME.2015.2468672

Use of electric field orientation as an index for estimating the contribution of model complexity in transcranial direct current stimulation forward head model development

Shahid, Syed Salman, Song Bo, Salman, Humaira, de Oliveira, Marilia Menezes and Wen, Peng. 2015. "Use of electric field orientation as an index for estimating the contribution of model complexity in transcranial direct current stimulation forward head model development ." IET Science, Measurement and Technology. 9 (5), pp. 596-605. https://doi.org/10.1049/iet-smt.2014.0220

Classifying epileptic EEG signals with delay permutation entropy and multi-scale K-means

Zhu, Guohun, Li, Yan, Wen, Peng (Paul) and Wang, Shuaifang. 2015. "Classifying epileptic EEG signals with delay permutation entropy and multi-scale K-means." Sun, Changming, Bednarz, Tomasz, Pham, Tuan D., Vallotton, Pascal and Wang, Dadong (ed.) Signal and image analysis for biomedical and life sciences. United States. Springer. pp. 143-157

Monitoring the depth of anaesthesia using Hurst exponent and Bayesian methods

Nguyen-Ky, Tai, Wen, Peng and Li, Yan. 2014. "Monitoring the depth of anaesthesia using Hurst exponent and Bayesian methods." IET Signal Processing. 8 (9), pp. 907-917. https://doi.org/10.1049/iet-spr.2013.0113

Real-time depth of anaesthesia assessment using strong analytical signal transform technique

Palendeng, Mario Elvis, Wen, Peng and Li, Yan. 2014. "Real-time depth of anaesthesia assessment using strong analytical signal transform technique." Physical and Engineering Sciences in Medicine. 37 (4), pp. 723-730. https://doi.org/10.1007/s13246-014-0309-2

Analyzing EEG signals using graph entropy based principle component analysis and J48 decision tree

Wang, Shuaifang, Li, Yan, Wen, Peng and Zhu, Guohun. 2014. "Analyzing EEG signals using graph entropy based principle component analysis and J48 decision tree." Zhang, Teresa (ed.) 6th International Conference on Signal Processing Systems (ICSPS 2014). Dubai, United Arab Emirates 08 - 10 Dec 2014 Rowland Heights, CA. United States. https://doi.org/10.12720/ijsps

Analysis and classification of sleep stages based on difference visibility graphs from a single-channel EEG signal

Zhu, Guohun, Li, Yan and Wen, Peng (Paul). 2014. "Analysis and classification of sleep stages based on difference visibility graphs from a single-channel EEG signal." IEEE Journal of Biomedical and Health Informatics. 18 (6), pp. 1813-1821. https://doi.org/10.1109/JBHI.2014.2303991

Epileptic seizure detection in EEGs signals using a fast weighted horizontal visibility algorithm

Zhu, Guohun, Li, Yan and Wen, Peng (Paul). 2014. "Epileptic seizure detection in EEGs signals using a fast weighted horizontal visibility algorithm." Computer Methods and Programs in Biomedicine. 115 (2), pp. 64-75. https://doi.org/10.1016/j.cmpb.2014.04.001

Anaesthetic EEG signal denoise using improved nonlocal mean methods

Li, Tianning, Wen, Peng and Jayamaha, Sophie. 2014. "Anaesthetic EEG signal denoise using improved nonlocal mean methods." Physical and Engineering Sciences in Medicine. 37 (2), pp. 431-437. https://doi.org/10.1007/s13246-014-0263-z

A preliminary study about the distribution of temperature due to electrical stimulation in ECT

Menezes de Oliveira, Marilia, Wen, Peng, Ahfock, Tony and Shahid, Syed Salman. 2014. "A preliminary study about the distribution of temperature due to electrical stimulation in ECT." 2014 ICME International Conference on Complex Medical Engineering (ICME 2014). Taipei, Taiwan 26 - 29 Jun 2014 Piscataway, NJ. United States.

The value and cost of complexity in predictive modelling: role of tissue anisotropic conductivity and fibre tracts in neuromodulation

Shahid, Syed Salman, Bikson, Marom, Salman, Humaira, Wen, Peng and Ahfock, Tony. 2014. "The value and cost of complexity in predictive modelling: role of tissue anisotropic conductivity and fibre tracts in neuromodulation." Journal of Neural Engineering. 11 (3), pp. 1-19. https://doi.org/10.1088/1741-2560/11/3/036002

Comparisons between motor area EEG and all-channels EEG for two algorithms in motor imagery task classification

Li, Yan and Wen, Peng (Paul). 2014. "Comparisons between motor area EEG and all-channels EEG for two algorithms in motor imagery task classification." Biomedical Engineering: Applications, Basis and Communications. 26 (3), pp. 1-10. https://doi.org/10.4015/S1016237214500409

Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain–computer interface

Siuly, Siuly, Li, Yan and Wen, Peng (Paul). 2014. "Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain–computer interface ." Computer Methods and Programs in Biomedicine. 113 (3), pp. 767-780. https://doi.org/10.1016/j.cmpb.2013.12.020

Analysis of epileptic EEG signals with simple random sampling J48 algorithm

Wang, Shuaifang, Zhu, Guohun, Li, Yan, Wen, Peng and Song, Bo. 2014. "Analysis of epileptic EEG signals with simple random sampling J48 algorithm." International Journal of Bioscience, Biochemistry and Bioinformatics (IJBBB). 4 (2), pp. 78-81. https://doi.org/10.7763/IJBBB.2014.V4.314

Simulation study of pO2 distribution in induced tumour masses and normal tissues within a microcirculation environment

Li, Mao, Li, Yan and Wen, Peng (Paul). 2014. "Simulation study of pO2 distribution in induced tumour masses and normal tissues within a microcirculation environment." Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization. 17 (4), pp. 334-343. https://doi.org/10.1080/10255842.2012.683428

Analysis of alcoholic EEG signals based on horizontal visibility graph entropy

Zhu, Guohun, Li, Yan, Wen, Peng and Wang, Shuaifang. 2014. "Analysis of alcoholic EEG signals based on horizontal visibility graph entropy." Brain Informatics. 1, pp. 19-25. https://doi.org/10.1007/s40708-014-0003-x

Assessment of electric field distribution in anisotropic cortical and subcortical regions under the influence of tDCS

Shahid, Salman, Wen, Peng and Ahfock, Tony. 2014. "Assessment of electric field distribution in anisotropic cortical and subcortical regions under the influence of tDCS." Bioelectromagnetics. 35 (1), pp. 41-57. https://doi.org/10.1002/bem.21814

Epileptogenic focus detection in intracranial EEG based on delay permutation entropy

Zhu, Guohun, Li, Yan, Wen, Peng (Paul), Wang, Shuaifang and Xi, Min. 2013. "Epileptogenic focus detection in intracranial EEG based on delay permutation entropy." Sun, Changming, Bednarz, Tomasz, Pham, Tuan D., Vallotton, Pascal and Wang, Dadong (ed.) International Symposium on Computational Models for Life Sciences (CMLS 2013). Sydney, Australia 27 - 29 Nov 2013 United States. AIP Publishing. https://doi.org/10.1063/1.4824993

Unsupervised classification of epileptic EEG signals with multi scale K-means algorithm

Zhu, Guohun, Li, Yan, Wen, Peng (Paul), Wang, Shuaifang and Zhong, Ning. 2013. "Unsupervised classification of epileptic EEG signals with multi scale K-means algorithm." Imamura, Kazayuki, Usui, Shiro, Shirao, Tomoaki, Kasamatsu, Takuji, Schwabe, Lars and Zhong, Ning (ed.) 2013 International Conference on Brain and Health Informatics (BHI 2013). Maebashi, Japan 29 - 31 Oct 2013 Germany. Springer. https://doi.org/10.1007/978-3-319-02753-1_16

Identification of motor imagery tasks through CC–LR algorithm in brain computer interface

Li, Yan and Wen, Peng. 2013. "Identification of motor imagery tasks through CC–LR algorithm in brain computer interface." International Journal of Bioinformatics Research and Applications. 9 (2), pp. 156-172. https://doi.org/10.1504/IJBRA.2013.052447

An improved chaos method for monitoring the depth of anaesthesia

Nguyen-Ky, Tai, Wen, Peng and Li, Yan. 2013. "An improved chaos method for monitoring the depth of anaesthesia." Duc, Nguyen Minh and BenLetaief, Khaled (ed.) International Conference on Computing, Management and Telecommunications (ComManTel 2013). Ho Chi Minh City, Vietnam 21 - 24 Jan 2013 United States. https://doi.org/10.1109/ComManTel.2013.6482413

Consciousness and depth of anesthesia assessment based on Bayesian analysis of EEG signals

Nguyen-Ky, Tai, Wen, Peng (Paul) and Li, Yan. 2013. "Consciousness and depth of anesthesia assessment based on Bayesian analysis of EEG signals." IEEE Transactions on Biomedical Engineering. 60 (6), pp. 1488-1498. https://doi.org/10.1109/TBME.2012.2236649

Chaos-modified detrended moving average methodology for monitoring the depth of anaesthesia

Nguyen-Ky, T., Wen, Peng and Li, Yan. 2013. "Chaos-modified detrended moving average methodology for monitoring the depth of anaesthesia." International Journal of Emerging Trends in Signal Processing. 1 (2), pp. 1-8.

Numerical investigation of white matter anisotropic conductivity in defining current distribution under tDCS

Shahid, Salman, Wen, Peng and Ahfock, Tony. 2013. "Numerical investigation of white matter anisotropic conductivity in defining current distribution under tDCS." Computer Methods and Programs in Biomedicine. 109 (1), pp. 48-64. https://doi.org/10.1016/j.cmpb.2012.09.001

Model based predictive control of depth of anaesthesia

Abdulla, Shahab, Wen, Peng, Zude, Zhou and Quan, Liu. 2012. "Model based predictive control of depth of anaesthesia." Chih-Hsing, Chu, Smith, Shana and Hong, Hocheng (ed.) 2012 International Conference on Innovative Design and Manufacturing (ICIDM 2012). Taipei, Taiwan 12 - 14 Dec 2012 Taiwan.

An efficient visibility graph similarity algorithm and its application for sleep stages classification

Zhu, Guohun, Li, Yan and Wen, Peng Paul. 2012. "An efficient visibility graph similarity algorithm and its application for sleep stages classification." Zanzotto, Fabio Massimo, Tsumoto, Shusaku, Taatgen, Niels and Yao, Yiyu (ed.) 2012 International Conference on Brain Informatics (BI 2012). Macau, China 04 - 07 Dec 2012 Heidelberg, Germany. Springer. https://doi.org/10.1007/978-3-642-35139-6_18

Consciousness, EEG and depth of anaesthesia monitoring

Wen, Peng. 2012. "Consciousness, EEG and depth of anaesthesia monitoring." Physical and Engineering Sciences in Medicine. 35 (4), pp. 389-392. https://doi.org/10.1007/s13246-012-0176-7

Effects of model complexity and tissue anisotropic conductivity on cortical modulation during transcranial direct current stimulation

Shahid, S., Wen, P. and Ahfock, T.. 2012. "Effects of model complexity and tissue anisotropic conductivity on cortical modulation during transcranial direct current stimulation." IET Science, Measurement and Technology. 6 (6), pp. 464-473. https://doi.org/10.1049/iet-smt.2012.0014

Analysing epileptic EEGs with a visibility graph algorithm

Zhu, Guohun, Li, Yan and Wen, Peng (Paul). 2012. "Analysing epileptic EEGs with a visibility graph algorithm." Chen, Qianbin, Huan, Jun (Luke), Xu, Yong, Zhang, Tianqi and Wang, Lipo (ed.) 5th International Conference on Biomedical Engineering and Informatics (BMEI 2012). Chongqing, China 16 - 18 Oct 2012 Piscataway, NJ. United States. https://doi.org/10.1109/BMEI.2012.6513212

Depth of anaesthesia control investigation using robust deadbeat control technique

Abdulla, Shahab and Wen, Peng. 2012. "Depth of anaesthesia control investigation using robust deadbeat control technique." Tetsuo, Kobayashi, Tetsuo, Touge, Hisao, Tachibana and Jinglong, Wu (ed.) 2012 International Conference on Complex Medical Engineering (ICME 2012). Kobe, Japan 01 - 04 Jul 2012 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2012.6275636

Measuring the hypnotic depth of anaesthesia based on the EEG signal using combined wavelet transform, eigenvector and normalisation techniques

Nguyen-Ky, Tai, Wen, Peng, Li, Yan and Malan, Mel. 2012. "Measuring the hypnotic depth of anaesthesia based on the EEG signal using combined wavelet transform, eigenvector and normalisation techniques." Computers in Biology and Medicine. 42 (6), pp. 680-691. https://doi.org/10.1016/j.compbiomed.2012.03.004

Tumor-induced effects on PO2 distribution in a normal tissue

Li, Mao, Li, Yan and Wen, Peng (Paul). 2012. "Tumor-induced effects on PO2 distribution in a normal tissue." Zhang, Yuan-Ting, Naghavi, Morteza, Bonato, Paolo and Carmen, C. Y. Poon (ed.) 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics (BHI 2012). Hong Kong and Shenzhen, China 02 - 07 Jan 2012 Hong Kong, China. https://doi.org/10.1109/BHI.2012.6211594

The effects of time-delay on feedback control of depth of anesthesia

Abdulla, Shahab A. and Wen, Peng. 2012. "The effects of time-delay on feedback control of depth of anesthesia." Zhang, Yuan-Ting, Naghavi, Morteza, Bonato, Paolo and Carmen, C. Y. Poon (ed.) 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics (BHI 2012). Hong Kong and Shenzhen, China 02 - 07 Jan 2012 Hong Kong, China. https://doi.org/10.1109/BHI.2012.6211747

Study of EEGs from somatosensory cortex and Alzheimer's disease sources

Bashar, Md. R., Li, Yan and Wen, Peng. 2012. "Study of EEGs from somatosensory cortex and Alzheimer's disease sources." International Journal of Biological and Life Sciences. 8 (2), pp. 62-66.

Clustering technique-based least square support vector machine for EEG signal classification

Siuly, S., Li, Yan and Wen, Peng (Paul). 2011. "Clustering technique-based least square support vector machine for EEG signal classification." Computer Methods and Programs in Biomedicine. 104 (3), pp. 358-372. https://doi.org/10.1016/j.cmpb.2010.11.014

Evaluating functional connectivity in alcoholics based on maximal weight matching

Zhu, Guohun, Li, Yan and Wen, Peng. 2011. "Evaluating functional connectivity in alcoholics based on maximal weight matching." Journal of Advanced Computational Intelligence and Intelligent Informatics. 15 (9), pp. 1221-1227.

EEG signal classification based on simple random sampling technique with least square support vector machine

Li, Yan and Wen, Peng. 2011. "EEG signal classification based on simple random sampling technique with least square support vector machine." International Journal of Biomedical Engineering and Technology. 7 (4), pp. 390-409. https://doi.org/10.1504/IJBET.2011.044417

Fruit drying process: analysis, modeling and simulation

Abdulla, Shahab, Wen, Paul, Landers, Richard and Yousif, B. F.. 2011. "Fruit drying process: analysis, modeling and simulation." Scientific Research and Essays. 6 (23), pp. 4915-4924.

Effects of head geometry, coil position and CSF displacement on field distribution under transcranial magnetic stimulation

Shahid, Salman, Wen, Peng, Ahfock, Tony and Leis, John. 2011. "Effects of head geometry, coil position and CSF displacement on field distribution under transcranial magnetic stimulation." Journal of Medical Imaging and Health Informatics. 1 (3), pp. 271-277. https://doi.org/10.1166/jmihi.2011.1040

Twin rotor system modelling de-coupling and optimal control

Wen, Peng and Li, Yan. 2011. "Twin rotor system modelling de-coupling and optimal control." ICMA 2011: IEEE International Conference on Mechatronics and Automation. Beijing, China 07 - 10 Aug 2011 Piscataway, NJ. United States. https://doi.org/10.1109/ICMA.2011.5986259

Measuring and reflecting depth of anesthesia using wavelet and power spectral density

Nguyen-Ky, Tai, Wen, Peng, Li, Yan and Gray, Robert. 2011. "Measuring and reflecting depth of anesthesia using wavelet and power spectral density." IEEE Transactions on Information Technology in Biomedicine. 15 (4), pp. 630-639. https://doi.org/10.1109/TITB.2011.2155081

Wireless sensor home automation networks based upon Sun SPOT

Wang, Gengkun, Xiang, Wei, Chen, Haoyu and Wen, Peng. 2011. "Wireless sensor home automation networks based upon Sun SPOT." ICSSC 2011: IET International Conference on Smart and Sustainable City (IET ICSSC2011). Shanghai, China 06 - 08 Jul 2011 NJ. United States. https://doi.org/10.1049/cp.2011.0295

Depth of anaesthesia patient models and control

Abdulla, Shahab and Wen, Peng. 2011. "Depth of anaesthesia patient models and control." Guo, Shuxiang, Touge, Tetsuo and Xiufen, Ye (ed.) 2011 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2011). Harbin, China 22 - 25 May 2011 United States. https://doi.org/10.1109/ICCME.2011.5876701

Effect of fat and muscle tissue conductivity on cortical currents - a tDCS study

Shahid, Salman, Wen, Peng and Ahfock, Tony. 2011. "Effect of fat and muscle tissue conductivity on cortical currents - a tDCS study." Guo, Shuxiang, Touge, Tetsuo and Xiufen, Ye (ed.) 2011 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2011). Harbin, China 22 - 25 May 2011 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2011.5876735

Robust internal model control for depth of anaesthesia

Abdulla, Shahab Anna and Wen, Peng. 2011. "Robust internal model control for depth of anaesthesia." International Journal of Mechatronics and Automation. 1 (1), pp. 1-8. https://doi.org/10.1504/IJMA.2011.039150

Reflection type Q-factor measurement using standard least squares methods

Shahid, S., Ball, J. A. R., Wells, C. G. and Wen, P.. 2011. "Reflection type Q-factor measurement using standard least squares methods." IET Microwaves, Antennas and Propagation. 5 (4), pp. 426-432. https://doi.org/10.1049/iet-map.2010.0395

Effects of head geometry and coil position on field distribution under transcranial magnetic stimulation

Shahid, Salman, Wen, Peng, Ahfock, Tony and Leis, John. 2011. "Effects of head geometry and coil position on field distribution under transcranial magnetic stimulation." MECBME 2011: Connecting Professionals in Biomedical Sciences and Technology. Sharjah, United Arab Emirates 21 - 24 Feb 2011 Red Hook, NY. United States. https://doi.org/10.1109/MECBME.2011.5752158

The design and investigation of model based internal model control for the regulation of hypnosis

Abdulla, Shahab, Wen, Peng and Xiang, Wei. 2010. "The design and investigation of model based internal model control for the regulation of hypnosis." Kuo, Way, Tsui, Lap Chee and Sung, Jao Yiu (ed.) IEEE/NANOMED 2010: Promoting Good Health with Nanotechnology. Hong Kong, China 05 - 09 Dec 2010 Hong Kong. https://doi.org/10.1109/NANOMED.2010.5749833

Depth of anaesthesia: measuring or guessing?

Landers, Richard, Wen, Peng and Pather, Selvan. 2010. "Depth of anaesthesia: measuring or guessing?" Kuo, Way, Tsui, Lap Chee and Sung, Jao Yiu (ed.) IEEE/NANOMED 2010: Promoting Good Health with Nanotechnology. Hong Kong, China 05 - 09 Dec 2010 Hong Kong. https://doi.org/10.1109/NANOMED.2010.5749809

Investigation of bispectral index filtering and improvement using wavelet transform adaptive filter

Palendeng, Mario Elvis, Wen, Peng and Goh, Steven. 2010. "Investigation of bispectral index filtering and improvement using wavelet transform adaptive filter." Kuo, Way, Tsui, Lap Chee and Sung, Jao Yiu (ed.) 4th IEEE International Conference on Nano/Molecular Medicine and Engineering (NANOMED 2010). Hong Kong, China 05 - 09 Dec 2010 Piscataway, NJ. United States. https://doi.org/10.1109/NANOMED.2010.5749796

An improved detrended moving-average method for monitoring the depth of anesthesia

Nguyen-Ky, T., Wen, Peng and Li, Yan. 2010. "An improved detrended moving-average method for monitoring the depth of anesthesia." IEEE Transactions on Biomedical Engineering. 57 (10), pp. 2369-2378. https://doi.org/10.1109/TBME.2010.2053929

A hybrid wired and wireless network infrastructure to improve the productivity and quality care of critical medical applications

Zhou, Hong, Ali, Hesham, Youn, Jon and Zhang, Zhongwei. 2010. "A hybrid wired and wireless network infrastructure to improve the productivity and quality care of critical medical applications." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Brisbane, Australia. https://doi.org/10.1109/ICCME.2010.5558842

De-noising a raw EEG signal and measuring depth of anaesthesia for general anaesthesia patients

Nguyen-Ky, T., Wen, Peng, Li, Yan and Gray, Robert. 2010. "De-noising a raw EEG signal and measuring depth of anaesthesia for general anaesthesia patients." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Brisbane, Australia. https://doi.org/10.1109/ICCME.2010.5558834

Comparison of extended and unscented Kalman filters applied to EEG signals

Walters-Williams, Janett and Li, Yan. 2010. "Comparison of extended and unscented Kalman filters applied to EEG signals." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Brisbane, Australia. https://doi.org/10.1109/ICCME.2010.5558873

Optimal choice of test signals for channel estimation

Braithwaite, Stephen and Addie, Ron. 2010. "Optimal choice of test signals for channel estimation." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Brisbane, Australia. https://doi.org/10.1109/ICCME.2010.5558839

Analysis and classification of EEG signals using a hybrid clustering technique

Li, Y. and Wen, P.. 2010. "Analysis and classification of EEG signals using a hybrid clustering technique." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2010.5558875

Depth of anesthesia control using internal model control techniques

Anna, Shahab and Wen, Peng. 2010. "Depth of anesthesia control using internal model control techniques." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2010.5558825

Uncertainty and sensitivity analysis for anisotropic inhomogeneous head tissue conductivity in human head modelling

Bashar, M. R., Li, Y. and Wen, P.. 2010. "Uncertainty and sensitivity analysis for anisotropic inhomogeneous head tissue conductivity in human head modelling." Physical and Engineering Sciences in Medicine. 33 (2), pp. 145-152. https://doi.org/10.1007/s13246-010-0015-7

Engineering education in China and Australia: addressing the demand-supply gap

Ku, Siu Lung Harry, Wen, Peng and Xiang, Wei. 2010. "Engineering education in China and Australia: addressing the demand-supply gap." Hong Kong Institution of Engineers, Transactions. 17 (2), pp. 20-26.

A systematic study of head tissue inhomogeneity and anisotropy on EEG forward problem computing

Bashar, M. R., Li, Y. and Wen, P.. 2010. "A systematic study of head tissue inhomogeneity and anisotropy on EEG forward problem computing." Physical and Engineering Sciences in Medicine. 33 (1), pp. 11-21. https://doi.org/10.1007/s13246-010-0009-5

A novel attribute reduction algorithm based on peer-to-peer technique and rough set theory

Ma, Guangzhi, Lu, Yansheng, Wen, Peng and Song, Engmin. 2010. "A novel attribute reduction algorithm based on peer-to-peer technique and rough set theory." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Brisbane, Australia. https://doi.org/10.1109/ICCME.2010.5558832

Channel based simulation and analysis of IEEE802.16(WiMAX) -2004/WMAN-OFDM physical layer for BWA to support telemedicine

Singh, Bikash C., Rahman, M. Mahbubur, Godder, Tapan K., Abu, L. and Bashar, Md. R.. 2010. "Channel based simulation and analysis of IEEE802.16(WiMAX) -2004/WMAN-OFDM physical layer for BWA to support telemedicine." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Brisbane, Australia. https://doi.org/10.1109/ICCME.2010.5558837

Improving the accuracy of depth of anaesthesia using modified detrended fluctuation analysis method

Nguyen-Ky, T., Wen, Peng and Li, Yan. 2010. "Improving the accuracy of depth of anaesthesia using modified detrended fluctuation analysis method." Biomedical Signal Processing and Control. 5 (1), pp. 59-65. https://doi.org/10.1016/j.bspc.2009.03.001

Effects of local tissue conductivity on spherical and realistic head models

Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2010. "Effects of local tissue conductivity on spherical and realistic head models." Physical and Engineering Sciences in Medicine. 33 (3), pp. 233-242. https://doi.org/10.1007/s13246-010-0027-3

Effects of the local skull and spongiosum conductivities on realistic head modeling

Bashar, M. R., Li, Y. and Wen, P.. 2010. "Effects of the local skull and spongiosum conductivities on realistic head modeling." Li, Y., Yang, Jiajia, Wen, P. and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2010.5558877

Analytic and numeric evaluation of EEG forward problem using spherical volume conductor models

Shahid, Salman and Wen, Peng. 2010. "Analytic and numeric evaluation of EEG forward problem using spherical volume conductor models." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2010.5558878

Engineering education - undergraduate and masters: China and down under

Ku, Harry, Wen, Paul, Xiang, Wei and Goh, Steven. 2009. "Engineering education - undergraduate and masters: China and down under." Kestell, Colin, Grainger, Steven and Cheung, John (ed.) 20th Annual Conference for the Australasian Association of Engineering Education (AAEE 2009). Adelaide, Australia 06 - 09 Dec 2009 Adelaide, Australia.

Minimum packet drop sequences based networked control system model with embedded Markov chain

Wen, Peng and Li, Yan. 2009. "Minimum packet drop sequences based networked control system model with embedded Markov chain." Simulation Modelling Practice and Theory. 17 (10), pp. 1635-1641. https://doi.org/10.1016/j.simpat.2009.07.003

Teaching of critical path networks using software packages

Ku, H.. 2009. "Teaching of critical path networks using software packages ." Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_55

Real-time pressure monitoring and control of a hydraulic system without sensor

Peng, Tianshu, Struthers, Craig and Wen, Peng. 2009. "Real-time pressure monitoring and control of a hydraulic system without sensor." Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_59

Classification of EEG signals using sampling techniques and least square support vector machines

Li, Yan and Wen, Peng. 2009. "Classification of EEG signals using sampling techniques and least square support vector machines." Wen, Peng (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_47

EEG analysis on skull conductivity perturbations using realistic head model

Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2009. "EEG analysis on skull conductivity perturbations using realistic head model." Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_26

A Prototype Biometric Security Authentication System Based upon Fingerprint Recognition

Xiang, Wei, Desai, Bhavin, Wen, Paul, Wang, Yafeng and Peng, Tianshu. 2009. "A Prototype Biometric Security Authentication System Based upon Fingerprint Recognition." Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_33

Stability analysis of model-based networked control system with unreliable links

Teng, Lanzhi and Wen, Peng. 2009. "Stability analysis of model-based networked control system with unreliable links." Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_48

PID controller evaluation with missing samples in a networked control system using spline interpolation method

Ghude, Sarang and Wen, Paul. 2009. "PID controller evaluation with missing samples in a networked control system using spline interpolation method." Chan, Lee Soon (ed.) International Conference on Computer and Automation Engineering (ICCAE 2009). Bangkok, Thailand 08 - 10 Mar 2009 United States. https://doi.org/10.1109/ICCAE.2009.76

Theoretical basis for identification of different anesthetic states based on routinely recorded EEG during operation

Nguyen-Ky, T., Wen, Peng and Li, Yan. 2009. "Theoretical basis for identification of different anesthetic states based on routinely recorded EEG during operation." Computers in Biology and Medicine. 39 (1), pp. 40-45. https://doi.org/10.1016/j.compbiomed.2008.10.007

Convection drying process modeling and simulation study based on tomato

Shahab, Anna, Wen, Peng and Richard, George. 2009. "Convection drying process modeling and simulation study based on tomato." Giannoccaro, Nicola Ivan and Klingajay, Mongkorn (ed.) International Conference on Robotics, Informatics, Intelligence Control System Technology (RIIT 2009). Bangkok, Thailand 11 - 14 Dec 2009 Bangkok, Thailand.

Monitoring the depth of anesthesia using discrete wavelet transform and power spectral density

Nguyen-Ky, T., Wen, Peng and Li, Yan. 2009. "Monitoring the depth of anesthesia using discrete wavelet transform and power spectral density." Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_44

Automated vehicle classification system for AUSTROADS standard based upon laser sensor technology

Xiang, Wei, Otto, Colin W. and Wen, Peng. 2009. "Automated vehicle classification system for AUSTROADS standard based upon laser sensor technology." Australian Journal of Electrical and Electronics Engineering. 5 (2), pp. 95-106.

A study of white matter and skull inhomogeneous anisotropic tissue conductivities on EEG forward head modeling

Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2008. "A study of white matter and skull inhomogeneous anisotropic tissue conductivities on EEG forward head modeling." Karim, Mohammad (ed.) DMAI 2008: 1st IEEE International Workshop on Data Mining and Artificial Intelligence. Khulna, Bangladesh 24 - 27 Dec 2008 Bangladesh. https://doi.org/10.1109/ICCITECHN.2008.4803103

Effects of white matter on EEG of multi-layered spherical head models

Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2008. "Effects of white matter on EEG of multi-layered spherical head models." Hoque, Aminul and Choudhury, Mohammad (ed.) 5th International Conference on Electrical and Computer Engineering (ICECE 2008). Dhaka, Bangladesh 20 - 22 Dec 2008 Bangladesh. https://doi.org/10.1109/ICECE.2008.4769173

Tension control of a winding machine for rectangular coils

Wen, Peng, Stapleton, Cary and Li, Yan. 2008. "Tension control of a winding machine for rectangular coils." Wen, Changyun and Pham, Thuong Cat (ed.) 10th International Conference on Control, Automation, Robotics and Vision (ICARCV 2008). Hanoi, Vietnam 17 - 20 Dec 2008 United States. https://doi.org/10.1109/ICARCV.2008.4795843

Model-based networked control system stability based on packet drop distributions

Teng, Lanzhi, Wen, Peng and Xiang, Wei. 2008. "Model-based networked control system stability based on packet drop distributions." Wen, Changyun and Pham, Thuong Cat (ed.) 10th International Conference on Control, Automation, Robotics and Vision (ICARCV 2008). Hanoi, Vietnam 17 - 20 Dec 2008 Piscataway, NJ. United States. https://doi.org/10.1109/ICARCV.2008.4795567

Decoupling control of a twin rotor MIMO system using robust deadbeat control technique

Wen, P. and Lu, T.-W.. 2008. "Decoupling control of a twin rotor MIMO system using robust deadbeat control technique." IET Control Theory and Applications. 2 (11), pp. 999-1007. https://doi.org/10.1049/iet-cta:20070335

Data missing and make-up work studies over a PIDn networked control system

Teng, Lanzhi and Wen, Peng. 2008. "Data missing and make-up work studies over a PIDn networked control system." Arabnia, Hamid R. and Deligiannidis, Leonidas (ed.) MSV 2008: International Conference on Modeling, Simulation and Visualization Methods. Las Vegas, United States 14 - 17 Jul 2008 Las Vegas, NV. USA.

Modified detrended fluctuation analysis method in depth of anesthesia assessment application

Nguyen-Ky, T., Wen, Peng and Li, Yan. 2008. "Modified detrended fluctuation analysis method in depth of anesthesia assessment application." Arabnia, Hamid R. (ed.) BIOCOMP 2008: International Conference on Bioinformatics and Computational Biology. Las Vegas, United States 14 - 17 Jul 2008 Las Vegas, NV. USA.

Tissue conductivity anisotropy inhomogeneity study in EEG head modelling

Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2008. "Tissue conductivity anisotropy inhomogeneity study in EEG head modelling." BIOCOMP 2008: International Conference on Bioinformatics and Computational Biology. Las Vegas, United States 14 - 17 Jul 2008 Las Vegas, NV. USA.

Influence of white matter inhomogeneous anisotropy on EEG forward computing

Bashar, R., Li, Y. and Wen, P.. 2008. "Influence of white matter inhomogeneous anisotropy on EEG forward computing." Physical and Engineering Sciences in Medicine. 31 (2), pp. 122-130. https://doi.org/10.1007/BF03178586

Automated vehicle classification system using advanced noise reduction technology

Xiang, Wei, Otto, Colin and Wen, Peng. 2008. "Automated vehicle classification system using advanced noise reduction technology." Wysocki, Beata J. and Wysocki, Tadeusz A. (ed.) 2007 1st International Conference on Signal Processing and Communication Systems (ICSPCS 2007). Gold Coast, Australia 17 - 19 Dec 2007 Wollongong, Australia.

Service-mining based on knowledge and customer databases

Li, Yan, Wen, Peng, Wang, Hu and Gong, Chunqiang. 2007. "Service-mining based on knowledge and customer databases." Zhang, Zili and Siekmann, Jorg (ed.) 2nd International Conference on Knowledge Science, Engineering, and Management (KSEM 2007). Melbourne, Australia 28 - 30 Nov 2007 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-540-76719-0_63

Design of high-performance networked real-time control systems

Wen, Peng, Cao, Jiannong and Li, Yan. 2007. "Design of high-performance networked real-time control systems." IET Control Theory and Applications. 1 (5), pp. 1329-1335. https://doi.org/10.1049/iet-cta:20060424

An index of depth of anaesthesia based on wavelet analysis of middle latency auditory evoked potentials

Wang, Zicong, Li, Yingchun, Wen, Peng and Meng, Max Q.-H.. 2007. "An index of depth of anaesthesia based on wavelet analysis of middle latency auditory evoked potentials." 2007 IEEE/ICM International Conference on Complex Medical Engineering (CME 2007). Beijing, China 23 - 27 May 2007 Beijing, China. https://doi.org/10.1109/ICCME.2007.4381758

Accurately monitoring the depth of anaesthesia using an intelligent method

Li, Yingchun, Wang, Zicong, Wen, Peng and Meng, Max Q.-H.. 2007. "Accurately monitoring the depth of anaesthesia using an intelligent method." 2007 IEEE/ICM International Conference on Complex Medical Engineering (CME 2007). Beijing, China 23 - 27 May 2007 Beijing, China. https://doi.org/10.1109/ICCME.2007.4381761

Monitoring depth of anaesthesia using auditory evoked potential and bispectrum

Wang, Zicong, Li, Yingchun, Wen, Peng and Meng, Max Q.-H.. 2007. "Monitoring depth of anaesthesia using auditory evoked potential and bispectrum." 2007 IEEE International Conference on Integration Technology. Shenzhen, China 20 - 24 Mar 2007 Shenzhen, China. https://doi.org/10.1109/ICITECHNOLOGY.2007.4290486

Networked PID control system modeling and simulation using Markov chain

Teng, Lanzhi and Wen, Peng. 2007. "Networked PID control system modeling and simulation using Markov chain." 2007 IEEE International Conference on Integration Technology. Shenzhen, China 20 - 24 Mar 2007 Shenzhen, China.

Time optimal and robust control of twin rotor system

Lu, Te-Wei and Wen, Peng. 2007. "Time optimal and robust control of twin rotor system." Wang, Jianliang and Huang, Jie (ed.) ICCA 2007: 6th IEEE International Conference on Control and Automation. Guangzhou, China 30 May - 01 Jun 2007 Piscataway, N.J. United States. https://doi.org/10.1109/ICCA.2007.4376479

EEG human head modelling based on heterogeneous tissue conductivity

Wen, Peng and Li, Yan. 2006. "EEG human head modelling based on heterogeneous tissue conductivity." Professor Yogesh K Dwivedi. 29 (3), pp. 235-240.

Deadline fault tolerance in a networked real-time system

Wen, Peng and Li, Yan. 2006. "Deadline fault tolerance in a networked real-time system." 4th International Conference on Active Media Technology (AMT 2006). Brisbane, Australia 07 - 09 Jun 2006 United States.

An ensemble learning algorithm for blind signal separation problem

Li, Yan and Wen, Peng. 2005. "An ensemble learning algorithm for blind signal separation problem." 2005 International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 2005). Vienna, Austria 28 - 30 Nov 2005 Washington, DC, united States.

Bayesian model for brain computation

Li, Yan and Wen, Peng. 2005. "Bayesian model for brain computation." Wu, Jinglong and Ito, Koji (ed.) 1st International Conference on Complex Medical Engineering (CME 2005). Takamatsu, Japan 15 - 18 May 2005 Kagawa, Japan.

Electronic height indicator for agricultural machines

Wen, Peng and Kidd, Jason G.. 2005. "Electronic height indicator for agricultural machines." Australian Journal of Electrical and Electronics Engineering. 2 (1), pp. 13-20.

Preliminary investigation of the digital human head

McCarthy, Elizabeth and Wen, Peng. 2005. "Preliminary investigation of the digital human head." Wu, Jinglong and Ito, Koji (ed.) 1st International Conference on Complex Medical Engineering (CME 2005). Takamatsu, Japan 15 - 18 May 2005 Kagawa, Japan.

An internet based supervision control and data acquisition system with fault tolerance

Wen, Peng and Li, Yan. 2004. "An internet based supervision control and data acquisition system with fault tolerance." 2004 International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 2004). Gold Coast, Australia 12 - 14 Jul 2004 Washington, DC, united States.

The real-time computing model for a network based control system

Wen, Peng and Li, Yan. 2004. "The real-time computing model for a network based control system." 8th International Conference on Control, Automation, Robotics and Vision (ICARCV 2004) . Kunming, China 06 - 09 Dec 2004 United States.

Realistic human head model for EEG from both the geometry and conductivity aspects

Wen, Peng and Pope, Kenneth. 2003. "Realistic human head model for EEG from both the geometry and conductivity aspects." Professor Yogesh K Dwivedi. 26 (1), pp. 1-5.

Non-layered human head model for EEG

Wen, Peng and Li, Yan. 2003. "Non-layered human head model for EEG." IEEE EMBS Asian-Pacific Conference on Biomedical Engineering (2003). Kyoto, Japan 20 - 22 Oct 2003 Piscataway, NJ, United States.

Methods for the blind signal separation problem

Li, Yan, Wen, Peng and Powers, David. 2003. "Methods for the blind signal separation problem." ICNNSP 2003: International Conference on Neural Networks and Signal Processing. Nanjing, China 14 - 17 Dec 2003 Piscataway, NJ. United States. https://doi.org/10.1109/ICNNSP.2003.1281131

The impact of inhomogeneous tissue anisotropy on potential distribution within head model

Wen, Peng. 2003. "The impact of inhomogeneous tissue anisotropy on potential distribution within head model." Professor Yogesh K Dwivedi. 26 (3), pp. 87-90.

Comparison study of different head model structures with homogeneous/inhomogeneous conductivity

Wen, P. and Li, Y.. 2001. "Comparison study of different head model structures with homogeneous/inhomogeneous conductivity." Physical and Engineering Sciences in Medicine. 24 (1), pp. 31-36. https://doi.org/10.1007/BF03178283

An enhanced training algorithm for multilayer neural networks based on reference output of hidden layer

Li, Yan, Rad, A. B. and Wen, Peng. 1999. "An enhanced training algorithm for multilayer neural networks based on reference output of hidden layer." Neural Computing and Applications. 8, pp. 218-225.